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Benjamin Vigneron

PhD - Université de Montréal
Supervisor
Julie Hlavacek-Larrondo
Research Topics
Astrophysics
Machine Learning for Physical Sciences
Website
Google Scholar

Publications

Disentangling AGN Feedback and Sloshing in the Perseus Cluster with XRISM: Insights from Simulations
Elena Bellomi
John A. ZuHone
Nhut Truong
Irina Zhuravleva
Rainer Weinberger
Christoph Pfrommer
Congyao Zhang
Annie Heinrich
Mateusz Ruszkowski
Brian McNamara
Julie Hlavacek-Larrondo
M. Gendron-Marsolais
Benjamin Vigneron
High-resolution X-ray spectroscopy with XRISM has revealed complex, non-monotonic velocity dispersion profiles in the Perseus cluster, point… (see more)ing to a complex interplay between at least two physical drivers of motions caused by dynamical processes within the intracluster medium (ICM). To further explore this conclusion, we perform a suite of idealized, controlled simulations targeting the relative roles of merger-induced sloshing and active galactic nucleus (AGN) feedback. Our models systematically isolate and combine these mechanisms to predict observable velocity profiles and X-ray line shapes, providing direct comparison to XRISM and Hitomi data. We find that neither sloshing nor AGN activity alone can reproduce the observed velocity dispersion profile; only their combined action matches the elevated dispersions both at the cluster core and outskirts. Power-spectrum analysis reveals distinct spatial signatures: sloshing generates large-scale coherent motions, while AGN feedback injects turbulence and broadens the velocity spectrum at small scales, especially in the core. By forward-modeling spectral line profiles, we show how these dynamics imprint unique observational signatures on X-ray emission. Our results underscore the necessity of accounting for both large-scale and small-scale drivers of gas motions in the ICM when interpreting high-resolution spectroscopic data, and provide guidance for the analysis of forthcoming XRISM observations.
2025-12-13
arXiv (preprint)
doi.org
arxiv.org